Optimization Method and Device for Quantum Bit Reading Signal, and Quantum Computer

Abstract

The present invention provides an optimization method and apparatus for a qubit reading signal and a quantum computer. The optimization method includes: obtaining m reading signals with different power values, where the reading signals are used to be applied to a resonator coupled to a qubit to perform a reading operation; selecting n of the reading signals to perform the reading operation based on the magnitude order of the power values; obtaining the number of cluster centers corresponding to each reading signal based on the reading result of the reading operation and arranging them in the magnitude order of the power values to form a sequence; and selecting the reading signals with power values meeting the requirements based on the sequence. The technical solution of the present invention can improve the efficiency of selecting the power value of the reading signal.

Description

Technical Field

[0001] The present invention belongs to the technical field of quantum computing, and particularly relates to an optimization method and device for a quantum bit read signal, and a quantum computer. Background Art

[0002] Quantum computing is a current research hotspot, and usually the quantum state information of quantum bits is obtained by means of dispersive readout. The general process of dispersive readout is as follows: a read signal is applied to a resonator coupled to a quantum bit, and the quantum state information is obtained by analyzing the read feedback signal reflected by the read cavity. The dispersive readout technology has relatively high requirements for the power selection of the read signal. If the power of the read signal is too low, the quantum states cannot be distinguished during the analysis process. If the power of the read signal is too high, since there is a physical connection between the read line and the quantum bit, additional excited states will be generated on the quantum bit.

[0003] The existing method for determining the power of the read signal usually traverses the possible value range of the read power by using a single-shot read measurement experiment, and selects the power value of the read signal that makes the read fidelity the highest from a large amount of experimental data as the power of the read signal.

[0004] The above method for determining the power of the read signal is too inefficient, so an optimization method for a quantum bit read signal is needed to more efficiently determine the power of the quantum bit read signal.

[0005] It should be noted that the information disclosed in the background art part of the present application is only intended to deepen the understanding of the general background technology of the present application, and should not be regarded as an admission or any form of suggestion that this information constitutes the prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of the present invention is to provide an optimization method for a quantum bit read signal to more efficiently determine the power value of the quantum bit read signal.

[0007] To achieve the above purpose, in a first aspect, the present invention provides an optimization method for a quantum bit read signal, including:

[0008] Obtain m read signals with different power values, where the read signals are used to be applied to a resonator coupled to a quantum bit to perform a read operation;

[0009] Based on the magnitude order of the power values, select n of the read signals to perform the read operation;

[0010] Based on the read results of the read operation, obtain the number of cluster centers corresponding to each read signal and arrange them in the order of the power values to form a sequence;

[0011] Select the read signal whose power value meets the requirements based on the sequence.

[0012] Optionally, the obtaining of m read signals with different power values includes:

[0013] Obtain the lower limit of the power value;

[0014] Set a step value, and sequentially obtain m read signals with different power values from the lower limit according to the step value.

[0015] Optionally, the selecting of the read signal whose power value meets the requirements based on the sequence includes:

[0016] When the sequence meets the first judgment condition, select the read signal whose power value meets the requirements based on the first judgment condition, where the first judgment condition includes: "223" is included in the sequence.

[0017] Optionally, the selecting of the read signal whose power value meets the requirements based on the first judgment condition includes: selecting the read signal corresponding to the power value of 2 closest to the value 3 in "223" in the sequence.

[0018] Optionally, the optimization method further includes:

[0019] Obtain the read result of the read operation corresponding to the read signal with the selected power value,

[0020] Obtain the outlier based on the read result;

[0021] When the outlier is greater than the set value, re-select the read signal corresponding to the power value of 2 second closest to the value 3 in "223".

[0022] Optionally, the selecting of the read signal whose power value meets the requirements based on the sequence includes:

[0023] When the sequence meets the second judgment condition, adjust the lower limit of the power value based on the second judgment condition, and return to execute the setting of the step value, and sequentially obtain m read signals with different power values from the lower limit according to the step value, where the second judgment condition includes: the sequence starts with "3" or "23".

[0024] Optionally, the adjusting of the lower limit of the power value based on the second judgment condition includes: if the sequence starts with "3", reduce the lower limit of the power value by the first amplitude; if the sequence starts with "23", reduce the lower limit of the power value by the second amplitude; the first amplitude is greater than the second amplitude.

[0025] Optionally, the reading signals whose power values meet the requirements based on the sequence include:

[0026] When the sequence meets the third judgment condition, adjust the reading width and / or the frequency value of the reading signal based on the third judgment condition, and return to execute the selection of n reading signals for the reading operation according to the magnitude order of the power values, where the reading width is the time length for collecting the feedback signal of the resonant cavity, and the third judgment condition includes: the sequence includes "133" or "113".

[0027] Optionally, the adjusting the reading width and / or the frequency value of the reading signal based on the third judgment condition includes: increasing the reading width and / or increasing the frequency value of the reading signal.

[0028] Optionally, the optimizing the reading signal based on the sequence includes:

[0029] When the sequence meets the fourth judgment condition, continue to select n reading signals for the reading operation according to the magnitude order of the power values, and return to execute the reading result based on the reading operation, obtain the number of cluster centers corresponding to each reading signal and arrange them in the order of the power value magnitude to form a sequence, where the fourth judgment condition includes: the sequence ends with "1" or "2".

[0030] In a second aspect, the present application provides an optimization device for a quantum bit reading signal, including:

[0031] A reading signal acquisition module, configured to acquire m reading signals with different power values, where the reading signals are used to be applied to a resonant cavity coupled to a quantum bit to perform a reading operation;

[0032] A reading operation execution module, configured to select n reading signals for the reading operation based on the magnitude order of the power values;

[0033] A sequence generation module, configured to obtain the number of cluster centers corresponding to each reading signal based on the reading result of the reading operation and arrange them in the order of the power value magnitude to form a sequence;

[0034] A reading signal selection module, configured to select the reading signals whose power values meet the requirements based on the sequence.

[0035] In a third aspect, the present application provides a readable storage medium, on which a computer program is stored, and when the computer program is executed, it can implement the optimization method for the quantum bit reading signal provided in the first aspect of the present application.

[0036] Fourthly, the present application provides a quantum computer, including the optimization device for the quantum bit read signal provided in the second aspect of the present application.

[0037] Compared with the prior art, the technical solution of the present invention has the following beneficial effects:

[0038] For the optimization method of the quantum bit read signal provided by the present invention, among m read signals with different power values, n read signals are selected in ascending order to perform read operations, and the number of cluster centers corresponding to the read signals with different power values is obtained. By arranging the number of cluster centers in the order of power values, the read signals with power values meeting the requirements can be selected from the sequence formed by the arrangement, without the need to perform read experiments on all read signals with different power values, greatly improving the efficiency of obtaining read signals.

[0039] The optimization device, readable storage medium and quantum computer for the quantum bit read signal proposed by the present invention belong to the same inventive concept as the optimization method of the quantum bit read signal provided by the present invention, and thus have the same beneficial effects, which will not be elaborated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0041] Figure 1 is a flowchart of the optimization method of the quantum bit read signal according to an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The following will describe the specific embodiments of the present invention in more detail with reference to the schematic diagrams. According to the following description and the claims, the advantages and features of the present invention will be clearer. It should be noted that the drawings are all in a very simplified form and use non-precise scales, only for the purpose of facilitating and clearly assisting in explaining the objectives of the embodiments of the present invention.

[0043] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation of the present invention.

[0044] In addition, the terms "first" and "second" are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0045] An embodiment of the present invention provides an optimization method for a quantum bit read signal. Refer to Figure 1 , Figure 1 which is a flowchart of the optimization method for the quantum bit read signal provided in this embodiment. The optimization method for the quantum bit read signal includes:

[0046] Step S1: Obtain m read signals with different power values, where the read signals are used to be applied to a resonator coupled to a quantum bit to perform a read operation;

[0047] In this embodiment, the value of m can be taken as 16, and the 16 power values are respectively {-35dB, -34dB, -33dB, -32dB, -31dB, -30dB, -29dB, -28dB, -27dB, -26dB, -25dB, -24dB, -23dB, -22dB, -21dB, -20dB}. It should be noted that when m is 16, other values can also be used for the power values, and this embodiment does not make specific limitations. In addition, m can also take other values, and no specific limitations are made either.

[0048] Step S2: Based on the magnitude order of the power values, select n of the read signals to perform the read operation;

[0049] In this embodiment, the value of n can be taken as 3, that is, select the read signals with power values of -35dB, -34dB, and -33dB respectively to perform the read operation. In the field of quantum computing, the reading of quantum bit information is realized by means of a resonator and the principle of dispersive frequency shift, that is, the quantum state of the quantum bit will affect the frequency of the resonator, and the quantum state of the quantum bit can be obtained by measuring the frequency of the resonator. The read operation includes applying the read signal to the resonator coupled to the quantum bit and collecting the read feedback signal output by the resonator. Perform IQ quadrature demodulation processing on the read feedback signal to obtain two corresponding values I and Q, and the two values form a set of coordinate point data in the IQ coordinate system in the IQ coordinate system. In specific operations, the read signal of each power value will repeat the read operation 5000 times and obtain the corresponding coordinate point data.

[0050] Step S3: Based on the read results of the read operation, obtain the number of cluster centers corresponding to each read signal and arrange them in the order of the power value magnitude to form a sequence;

[0051] It should be noted that in this embodiment, the number of cluster centers refers to the number of cluster centers obtained by using the K-means algorithm for each data point formed by the read feedback signals in the IQ coordinate system after IQ quadrature demodulation processing. In this embodiment, the K-means algorithm can be used to analyze the obtained 5000 coordinate point data to obtain the cluster centers. Each cluster center corresponds to a cluster. Generally, the number of cluster centers is 2, which respectively represent the ground state and the excited state. Suppose the coordinate point data corresponding to a certain read operation falls inside a cluster, then the cluster it falls into represents the quantum state of the qubit at present. However, in the case of too high a power value, due to the physical connection between the read signal transmission line and the qubit, the read signal with too high a power value will cause the qubit to be partially in the second excited state, and thus a phenomenon of having 3 cluster centers will be formed on the IQ coordinate system. In addition, in the case of too low a power value, a phenomenon where the cluster representing the ground state and the cluster representing the excited state cannot be distinguished will occur on the IQ coordinate system, that is, the number of cluster centers is 1. Therefore, a read signal with a suitable power value needs to be selected.

[0052] Step S4: Select the read signals with power values meeting the requirements based on the sequence.

[0053] In this embodiment, the number of cluster centers is arranged in ascending order of power value. Suppose the numbers of cluster centers corresponding to power values of -35dB, -34dB, and -33dB are 2, 2, and 3 respectively, then the formed sequence should be "223". Based on the sequence "223", the read signal with the power value corresponding to 2, which is the closest to the value 3 in the "223", can be selected, that is, -34dB is selected as the power value of the read signal.

[0054] The optimization method for the qubit read signal provided in this embodiment does not require performing read experiments on the read signals with all power values, but only performs read operations on the read signals with partial power values, which can improve the efficiency of determining the power value of the read signal.

[0055] In addition, in the step S1, the obtaining of m read signals with different power values includes:

[0056] Obtain the lower limit of the power value;

[0057] Set a step value, and sequentially obtain m read signals with different power values from the lower limit according to the step value.

[0058] In this embodiment, the lower limit of the power value can be set to -35 dB, and the step value can be set to 1 dB. 21 read signals of power values can be obtained in sequence according to the step value.

[0059] Specifically, in step S4, the step of selecting the read signal with a power value meeting the requirements based on the sequence includes: when the sequence meets the first judgment condition, selecting the read signal with a power value meeting the requirements based on the first judgment condition, where the first judgment condition includes: "223" is included in the sequence.

[0060] In this embodiment, the value of n can also be taken as 5, that is, the read signals with power values of -35 dB, -34 dB, -33 dB, -32 dB, and -31 dB are selected to perform read operations respectively, and the number of cluster centers corresponding to each read signal is obtained based on the read result of the read operation and arranged in the order of the power value size to form a sequence. Assuming the sequence is "12233", since the sequence includes "223", the read signal corresponding to the power value of 2 closest to the value 3 in "223" in the sequence can be selected, or the read signal corresponding to the power value of 2 the second closest to the value 3 in "223" in the sequence can be selected. It should be noted that the sequence is not limited to the situation mentioned in this embodiment, and other situations meeting the requirements are also included. For example, the sequence can also be "12223" or "22333".

[0061] In addition, in step S4, the step of selecting the read signal with a power value meeting the requirements based on the sequence further includes: when the sequence meets the second judgment condition, adjusting the lower limit of the power value based on the second judgment condition, and returning to execute the step of setting a step value, and obtaining m read signals with different power values in sequence from the lower limit according to the step value, where the second judgment condition includes: the sequence starts with "3" or "23".

[0062] For example, when n is 5, when the sequence is "33333" or "23333", since "33333" starts with "3" and "23333" starts with "23", it indicates that the power value of the selected read signal is too high, and the power value of the read signal needs to be reduced. In the case of obtaining different power values by setting the lower limit and step value of the power value, the obtained lower limit value can be reduced.

[0063] Specifically, adjusting the lower limit of the power value based on the second judgment condition includes: if the sequence starts with "3", reducing the lower limit of the power value by a first amplitude; if the sequence starts with "23", reducing the lower limit of the power value by a second amplitude; the first amplitude is greater than the second amplitude. In this embodiment, when the sequence starts with "3", the lower limit of the power value is reduced by 8 db, and when the sequence starts with "23", the lower limit of the power value is reduced by 5 db.

[0064] Assume the sequence is "23333", and "23333" starts with "23". Therefore, it is necessary to adjust the lower limit of the power value, and then reselect the read signals of n different power values. Since the lower limit of the power value has changed, the selected read signals of n different power values have also changed. The lower limit of the power value is reduced by 5 db. When n is 5, the read signals with power values of -40 db, -39 db, -38 db, -37 db, and -36 db will be reselected to perform the read operation respectively, and the corresponding number of clustering centers will be obtained to form a sequence. Assume the number of clustering centers corresponding to the read signals with power values of -40 db, -39 db, -38 db, -37 db, and -36 db are 1, 1, 1, 1, and 2 respectively. Then the sequence obtained based on each read signal is "1111223333". The sequence includes "223". The read signal corresponding to the power value of the 2 closest to 3 in "223" can be selected based on the first judgment condition. In this embodiment, it is the read signal with a power value of -35 db.

[0065] Compared with the prior art that traverses the read signals of each power value, the technical solution of the present application provides a decision. After reading the read signals of some power values, the selection range of the power value can be adjusted according to the read result, thereby improving the efficiency of determining the power value of the read signal.

[0066] In addition, in other embodiments, the lower limit can also be set to reduce other amplitudes, which is not specifically limited in this embodiment.

[0067] Additionally, selecting the read signal whose power value meets the requirements based on the sequence further includes:

[0068] When the sequence meets the third judgment condition, adjust the read width and / or the frequency value of the read signal based on the third judgment condition, and return to perform the selection of n read signals to perform the read operation based on the magnitude order of the power values. Wherein, the read width is the time length for collecting the read feedback signal output by the resonant cavity, and the third judgment condition includes: the sequence includes "133" or "113".

[0069] For example, when n is 5, if the sequence is "11133" or "13333" or "11333" or "11113", it indicates that the change in the power value of the read signal does not result in the number of cluster centers being 2. We need to adjust the read width and / or the frequency of the read signal. In this embodiment, when the sequence includes "113" or "133", we increase the read width by 500 ns and re - perform the read operation on the n read signals with different power values. After adjusting the read width, the number of cluster centers obtained by re - performing the read operation will tend to be normal, and the sequence will also be able to show the situation where the number of cluster centers is 2. Then, based on the sequence, we select the read signals with power values that meet the requirements.

[0070] Additionally, in step S4, the optimizing the read signal based on the sequence further includes:

[0071] When the sequence meets the fourth judgment condition, based on the order of the power values, continue to select n read signals to perform the read operation, and return to execute the read result based on the read operation. Obtain the number of cluster centers corresponding to each read signal and arrange them in the order of the power values to form a sequence. Among them, the fourth judgment condition includes: the sequence ends with "1" or "2".

[0072] For example, when n is 5, select the read signals with power values of - 35 db, - 34 db, - 33 db, - 32 db, and - 31 db respectively to perform the read operation, and obtain the number of cluster centers corresponding to each read signal based on the read result of the read operation and arrange them in the order of the power values to form a sequence. When the sequence is "11112", it indicates that the power value is not large enough, and the number of cluster centers in the sequence does not reach 3, so there is still room for increasing the power value. Therefore, among the m read signals with different power values obtained, continue to select 5 read signals with different power values and perform the read operation. In this embodiment, we select the read signals with power values of - 30 db, - 29 db, - 28 db, - 27 db, and - 26 db and perform the read operation respectively. Obtain the number of cluster centers corresponding to each read signal based on the read result of the read operation; arrange them in the order of the power values to form a sequence. Suppose the number of cluster centers corresponding to the read signals with power values of - 30 db, - 29 db, - 28 db, - 27 db, and - 26 db are 2, 3, 3, 3, 3 respectively, then the sequence is "1111223333", and based on the sequence, select the read signals with power values that meet the requirements.

[0073] Combined with the above description, it can be seen that "223" is included in the "1111223333", which meets the first judgment condition. Then, 2, which is closest to the value 3, can be selected as the power value of the read signal. In this embodiment, the read signal with a power value of -30 dB is selected.

[0074] Additionally, the optimization method further includes:

[0075] Obtaining the read result of the read operation corresponding to the read signal with the selected power value,

[0076] Obtaining outliers based on the read result;

[0077] When the outlier is greater than the set value, re-select the read signal with the power value corresponding to the 2 that is the second closest to the value 3 in the "223".

[0078] Here, an explanation of the outlier is given. Based on the K-means clustering algorithm, the obtained coordinate point data is analyzed to obtain the clustering centers. Each clustering center corresponds to a cluster. The coordinate point data of all points not within the cluster in the IQ plane is counted as outlier points, and the proportion is counted as the outlier value.

[0079] Assume that the read signal with a power value of -30 dB has been selected. Obtain the read result of the read operation performed by the read signal with a power value of -30 dB, obtain the outlier value on the IQ diagram. If the outlier value is greater than a set value, in this embodiment, the set value is taken as 0.008, and it is necessary to re-select the read signal with the power value corresponding to the "2" that is the second closest to the "223". In this embodiment, it is the read signal with a power value of -31 dB.

[0080] In summary, this embodiment provides an optimization method for a qubit read signal, including: obtaining m read signals with different power values, where the read signals are used to be applied to a resonator coupled to a qubit to perform a read operation; based on the order of the power values, selecting n of the read signals to perform the read operation; based on the read result of the read operation, obtaining the number of clustering centers corresponding to each read signal and arranging them in the order of the power values to form a sequence; based on the sequence, selecting the read signal with a power value that meets the requirements. The technical solution of this application can improve the efficiency of selecting the power value of the read signal.

[0081] Based on the same inventive concept, this application also provides an optimization device for a qubit read signal, including a read signal acquisition module, a read operation execution module, a sequence generation module, and a read signal selection module.

[0082] The read signal acquisition module is configured to acquire m read signals with different power values, and the read signals are used to be applied to a resonator coupled to a qubit to perform a read operation.

[0083] The read operation execution module is configured to select n of the read signals to perform the read operation based on the magnitude order of the power values.

[0084] The sequence generation module is configured to obtain the number of cluster centers corresponding to each read signal based on the read result of the read operation and arrange them in the order of the power value magnitudes to form a sequence.

[0085] The read signal selection module is configured to select the read signals with power values meeting the requirements based on the sequence.

[0086] Based on the same inventive concept, the present application also provides a readable storage medium, on which a computer program is stored, and when the computer program is executed, it can implement the optimization method of the qubit read signal provided by the present application.

[0087] Based on the same inventive concept, the present application also provides a quantum computer, including the optimization device of the qubit read signal provided by the present application.

[0088] The qubit automated test and calibration method provided by the present invention has the same beneficial effects as the qubit automated test and calibration device provided by the present invention, and will not be elaborated herein.

[0089] The above description is only a description of the preferred embodiments of the present invention, and does not limit the scope of the present invention in any way. Any changes and modifications made by those of ordinary skill in the art of the present invention based on the above disclosure fall within the protection scope of the claims.

Claims

1. An optimization method for quantum bit read signals, characterized in that, Including: Obtain m reading signals with different power values, where the reading signals are used to be applied to a resonator coupled to a qubit to perform a reading operation; Based on the magnitude order of the power values, select n of the reading signals to perform the reading operation; Based on the reading results of the reading operation, obtain the number of cluster centers corresponding to each reading signal and arrange them in the order of the power values to form a sequence; Based on the sequence, select the reading signals with power values meeting the requirements.

2. The optimization method of the quantum bit reading signal according to claim 1, characterized in that The obtaining of m reading signals with different power values includes: Obtain the lower limit of the power value; Set a step value, and sequentially obtain m reading signals with different power values from the lower limit according to the step value.

3. The optimization method of the qubit read signal according to claim 1, characterized in that The selecting of the reading signals with power values meeting the requirements based on the sequence includes: When the sequence meets the first judgment condition, based on the first judgment condition, select the reading signals with power values meeting the requirements, where the first judgment condition includes: "223" is included in the sequence.

4. The optimization method of the quantum bit reading signal according to claim 3, characterized in that The selecting of the reading signals with power values meeting the requirements based on the first judgment condition includes: Select the reading signal corresponding to the power value of 2 closest to the value 3 in "223" in the sequence.

5. The method for optimizing the quantum bit read signal according to claim 4, wherein The optimization method further includes: Obtain the reading results of the reading operation corresponding to the reading signals with the selected power values, Obtain the outlier based on the reading results; When the outlier is greater than the set value, re-select the reading signal corresponding to the power value of 2 that is the second closest to the value 3 in "223".

6. The optimization method of the quantum bit reading signal according to claim 2, characterized in that The selecting of the reading signals with power values meeting the requirements based on the sequence includes: When the sequence meets the second judgment condition, based on the second judgment condition, adjust the lower limit of the power value, and return to execute the setting of the step value, and sequentially obtain m reading signals with different power values from the lower limit according to the step value, where the second judgment condition includes: the sequence starts with "3" or "23".

7. The optimization method of the quantum bit read signal according to claim 6, wherein The adjusting of the lower limit of the power value based on the second judgment condition includes: If the sequence starts with "3", reduce the lower limit of the power value by the first amplitude; If the sequence starts with "23", reduce the lower limit of the power value by the second amplitude, and the first amplitude is greater than the second amplitude.

8. The optimization method of the quantum bit reading signal according to claim 1, wherein The selecting of the reading signals with power values meeting the requirements based on the sequence includes: When the sequence meets the third judgment condition, based on the third judgment condition, adjust the reading width and / or the frequency value of the reading signal, and return to execute the selecting of n of the reading signals to perform the reading operation based on the magnitude order of the power values, where the reading width is the time length for collecting the feedback signal of the resonator, and the third judgment condition includes: the sequence includes "133" or "113".

9. The optimization method of the quantum bit read signal according to claim 8, characterized in that, The adjusting of the reading width and / or the frequency value of the reading signal based on the third judgment condition includes: Increase the reading width and / or increase the frequency value of the reading signal.

10. The optimization method of the quantum bit read signal according to claim 1 or 2, characterized in that The optimizing of the reading signals based on the sequence includes: When the sequence satisfies the fourth judgment condition, continue to select n of the read signals to perform the read operation based on the magnitude order of the power values, and return the read result of performing the read operation based on the read operation. Obtain the number of cluster centers corresponding to each read signal and arrange them in the order of the power values to form a sequence, where the fourth judgment condition includes: the sequence ends with "1" or "2".

11. An optimization device for a quantum bit read signal, characterized in that, Comprising: A read signal acquisition module, configured to acquire m read signals with different power values, where the read signals are used to be applied to a resonator coupled to a qubit to perform a read operation; A read operation execution module, configured to select n of the read signals to perform the read operation based on the magnitude order of the power values; A sequence generation module, configured to obtain the number of cluster centers corresponding to each read signal based on the read result of the read operation and arrange them in the order of the power values to form a sequence; A read signal selection module, configured to select the read signals with power values meeting the requirements based on the sequence.

12. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it can implement the optimization method for qubit read signals as described in any one of claims 1 to 10.

13. A quantum computer, characterized in that, Comprising the optimization device for qubit read signals as described in claim 11.

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